search for: mf_debt

Okay. Here is a modification that does four single line plots. at_df<-read.table(text= "Income MF MF_None MF_Equity MF_Debt MF_Hybrid Bank_None Bank_Current Bank_Savings Bank_NA $10 1 3.05 29.76 31.18 36.0 46.54 24.75 25.4 3.307 $25 2 2.29 28.79 32.64 36.27 54.01 24.4 18.7 2.891 $40 3 2.24 29.51 34.31 33.94 59.1 25.0 29 13.4 $75 4 1.71 28.90 35.65 33.74 62.17 24.61 11.48 1.746 >$75 5 1.30 31.67 37.59 29.44 67.67...

....307 2.891 13.4 1.746 1.208 4.577 On Wed, 28 Jun 2023 at 17:30, Jim Lemon <drjimlemon at gmail.com> wrote: > Hi Anupam, > Haven't heard from you in a long time. Perhaps you want something like > this: > > at_df<-read.table(text= > "Income MF MF_None MF_Equity MF_Debt MF_Hybrid Bank_None Bank_Current > Bank_Savings Bank_NA > $10 1 3.05 29.76 31.18 36.0 46.54 24.75 25.4 3.307 > $25 2 2.29 28.79 32.64 36.27 54.01 24.4 18.7 2.891 > $40 3 2.24 29.51 34.31 33.94 59.1 25.0 29 13.4 > $75 4 1.71 28.90 35.65 33.74 62.17 24.61 11.48 1.746 > >$75...

Hi Anupam, Haven't heard from you in a long time. Perhaps you want something like this: at_df<-read.table(text= "Income MF MF_None MF_Equity MF_Debt MF_Hybrid Bank_None Bank_Current Bank_Savings Bank_NA $10 1 3.05 29.76 31.18 36.0 46.54 24.75 25.4 3.307 $25 2 2.29 28.79 32.64 36.27 54.01 24.4 18.7 2.891 $40 3 2.24 29.51 34.31 33.94 59.1 25.0 29 13.4 $75 4 1.71 28.90 35.65 33.74 62.17 24.61 11.48 1.746 >$75 5 1.30 31.67 37.59 29.44 67.67...

....307 2.891 13.4 1.746 1.208 4.577 On Wed, 28 Jun 2023 at 17:30, Jim Lemon <drjimlemon at gmail.com> wrote: > Hi Anupam, > Haven't heard from you in a long time. Perhaps you want something like > this: > > at_df<-read.table(text= > "Income MF MF_None MF_Equity MF_Debt MF_Hybrid Bank_None Bank_Current > Bank_Savings Bank_NA > $10 1 3.05 29.76 31.18 36.0 46.54 24.75 25.4 3.307 > $25 2 2.29 28.79 32.64 36.27 54.01 24.4 18.7 2.891 > $40 3 2.24 29.51 34.31 33.94 59.1 25.0 29 13.4 > $75 4 1.71 28.90 35.65 33.74 62.17 24.61 11.48 1.746 > >$75...

Hello, I want to plot the following kind of data (percentage of respondents from a survey) that varies by Income into many small *line* graphs in a panel of graphs. I want to omit "No Answer" categories. I want to see how each one of the categories (percentages), "None", " Equity", etc. varies by Income. How can I do this? How to organize the data well and how to

...; On Wed, 28 Jun 2023 at 17:30, Jim Lemon <drjimlemon at gmail.com> wrote: > > > Hi Anupam, > > Haven't heard from you in a long time. Perhaps you want something like > > this: > > > > at_df<-read.table(text= > > "Income MF MF_None MF_Equity MF_Debt MF_Hybrid Bank_None Bank_Current > > Bank_Savings Bank_NA > > $10 1 3.05 29.76 31.18 36.0 46.54 24.75 25.4 3.307 > > $25 2 2.29 28.79 32.64 36.27 54.01 24.4 18.7 2.891 > > $40 3 2.24 29.51 34.31 33.94 59.1 25.0 29 13.4 > > $75 4 1.71 28.90 35.65 33.74 62.17 24.61 1...

...30, Jim Lemon <drjimlemon at gmail.com> wrote: >> >> > Hi Anupam, >> > Haven't heard from you in a long time. Perhaps you want something like >> > this: >> > >> > at_df<-read.table(text= >> > "Income MF MF_None MF_Equity MF_Debt MF_Hybrid Bank_None Bank_Current >> > Bank_Savings Bank_NA >> > $10 1 3.05 29.76 31.18 36.0 46.54 24.75 25.4 3.307 >> > $25 2 2.29 28.79 32.64 36.27 54.01 24.4 18.7 2.891 >> > $40 3 2.24 29.51 34.31 33.94 59.1 25.0 29 13.4 >> > $75 4 1.71 28.90 35.65...

...at gmail.com> wrote: >>> >>> > Hi Anupam, >>> > Haven't heard from you in a long time. Perhaps you want something like >>> > this: >>> > >>> > at_df<-read.table(text= >>> > "Income MF MF_None MF_Equity MF_Debt MF_Hybrid Bank_None Bank_Current >>> > Bank_Savings Bank_NA >>> > $10 1 3.05 29.76 31.18 36.0 46.54 24.75 25.4 3.307 >>> > $25 2 2.29 28.79 32.64 36.27 54.01 24.4 18.7 2.891 >>> > $40 3 2.24 29.51 34.31 33.94 59.1 25.0 29 13.4 >>> > $7...

...gt;> > >>> > Hi Anupam, > >>> > Haven't heard from you in a long time. Perhaps you want something like > >>> > this: > >>> > > >>> > at_df<-read.table(text= > >>> > "Income MF MF_None MF_Equity MF_Debt MF_Hybrid Bank_None Bank_Current > >>> > Bank_Savings Bank_NA > >>> > $10 1 3.05 29.76 31.18 36.0 46.54 24.75 25.4 3.307 > >>> > $25 2 2.29 28.79 32.64 36.27 54.01 24.4 18.7 2.891 > >>> > $40 3 2.24 29.51 34.31 33.94 59.1 25.0 29 13.4 &...

...gt;>> > Haven't heard from you in a long time. Perhaps you want > > >>> > something like > > >>> > this: > > >>> > > > >>> > at_df<-read.table(text= > > >>> > "Income MF MF_None MF_Equity MF_Debt MF_Hybrid Bank_None > > >>> > Bank_Current Bank_Savings Bank_NA > > >>> > $10 1 3.05 29.76 31.18 36.0 46.54 24.75 25.4 3.307 > > >>> > $25 2 2.29 28.79 32.64 36.27 54.01 24.4 18.7 2.891 > > >>> > $40 3 2.24 29.51 34.31 33.94...

...9;t heard from you in a long time. Perhaps you want > > > >>> > something like > > > >>> > this: > > > >>> > > > > >>> > at_df<-read.table(text= > > > >>> > "Income MF MF_None MF_Equity MF_Debt MF_Hybrid Bank_None > > > >>> > Bank_Current Bank_Savings Bank_NA > > > >>> > $10 1 3.05 29.76 31.18 36.0 46.54 24.75 25.4 3.307 > > > >>> > $25 2 2.29 28.79 32.64 36.27 54.01 24.4 18.7 2.891 > > > >>> > $40 3 2....